Sr Data Scientist

Interested candidates, kindly mail to enpcareers.hr@ril.com

Main Purpose:

To design, implement, and deploy data science solutions in a production environment, focusing on advanced analytics, machine learning, and deep learning techniques. The role requires a proactive approach to research and development in areas such as computer vision, time-series anomaly detection, and process optimization, ensuring high-impact delivery in a fast-paced, agile work environment.

Job Accountabilities:

• Lead the design and implementation of data science solutions in a production environment.
• Drive research and development of solutions in computer vision, time-series anomaly detection, and process optimization.
• Collaborate with cross-functional teams to develop and implement data science solutions.
• Manage multiple projects independently in a fast-paced environment.
• Conduct in-depth analysis to identify emerging trends and patterns, solving complex business problems.
• Deploy machine learning models and data pipelines, ensuring scalability of solutions.
• Perform exploratory data analysis and create interactive visualizations to support business decision-making.
• Present research and analysis results to both technical and non-technical stakeholders.
• Publish research findings in top-tier conferences and journals.
• Collaborate with data scientists, engineers, and process owners to ensure quality and timely delivery of projects.
• Stay up-to-date with the latest advancements in data science methodologies and tools.

Skills Required:

• Strong background in advanced analytics, machine learning, and deep learning techniques.
• Ability to lead the design and implementation of data science solutions.
• Proficiency in deploying machine learning models and data pipelines.
• Expertise in conducting exploratory data analysis and creating interactive visualizations.
• Excellent communication skills for presenting research and analysis results.
• Ability to manage multiple projects independently in a fast-paced environment.
• Strong collaboration skills with cross-functional teams.
• Commitment to staying updated with the latest advancements in data science.

Experience Required:

• 5-8 years of expertise in developing and deploying data-intensive solutions.
• Proven track record of delivering high-impact data science solutions in a fast-paced, agile work environment.

Preferred Educational Qualification:

• Masters or PhD in Engineering, Computational Sciences, or related quantitative disciplines.

Interested candidates, kindly mail to enpcareers.hr@ril.com